1. Introduction --; 2. Maximum Likelihood Framework --; 3. Color Based Retrieval --; 4. Robust Texture Analysis --; 5. Shape Based Retrieval --; 6. Robust Stereo Matching and Motion Tracking --; 7. Facial Expression Recognition --; References.
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
From the foreword by Thomas Huang: "During the past decade, researchers in computer vision have found that probabilistic machine learning methods are extremely powerful. This book describes some of these methods. In addition to the Maximum Likelihood framework, Bayesian Networks, and Hidden Markov models are also used. Three aspects are stressed: features, similarity metric, and models. Many interesting and important new results, based on research by the authors and their collaborators, are presented. Although this book contains many new results, it is written in a style that suits both experts and novices in computer vision."
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Computer science.
موضوع مستند نشده
Data structures (Computer science)
موضوع مستند نشده
Information storage and retrieval systems.
رده بندی کنگره
شماره رده
TA1634
نشانه اثر
.
B965
2003
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )